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ObjectiveThis study aimed to investigate the relationships between four types of perceived discrimination (based on race and ethnicity, nationality/country of origin, gender identity, weight/body size), individually and cumulatively; positive childhood experiences (PCEs); and behavioral symptoms among pre-adolescent youth.MethodsThis study was a secondary analysis of data from the Adolescent Brain Cognitive Development (ABCD) Study, a US-based cohort study of pre-adolescent youth in the United States (N = 10,915). Our outcome was emotional/behavioral symptoms measured by the Child Behavior Checklist. Primary exposures were four types of discrimination, a count of 0-5 PCEs, and other adverse childhood experiences (ACEs). Multiple logistic regression models were used to estimate the relationship between perceived discrimination and clinical-range behavioral symptoms, including the role of PCEs and ACEs.ResultsWeight discrimination was the most frequent exposure (n = 643, 5.9%). Race and weight perceived discrimination were associated with clinical-range externalizing and internalizing symptoms, respectively, but these associations were non significant once other ACEs were added to models. Cumulative discrimination was associated with clinical-range Child Behavior Checklist (CBCL) scores, even when accounting for other ACEs (aOR=1.47, 95% CI=1.2-1.8). PCEs slightly reduced the strength of this relationship and were independently associated with reduced symptoms (aOR=0.82, 95% CI=0.72-0.93).ConclusionsResults of this national study suggest cumulative discrimination can exert emotional/behavioral health harm among youth. PCEs were independently associated with reduced behavioral symptoms. There is a need for further research on how to prevent discrimination and bolster PCEs by targeting upstream social inequities in communities.

Diabetes technologies, including continuous glucose monitors, insulin pumps, and automated insulin delivery systems offer the possibility of improving glycemic outcomes, including reduced hemoglobin A1c, increased time in range, and reduced hypoglycemia. Given the rapid expansion in the use of diabetes technology over the past few years, and touted promise of these devices for improving both clinical and psychosocial outcomes, it is critically important to understand issues in technology adoption, equity in access, maintaining long-term usage, opportunities for expanded device benefit, and limitations of the existing evidence base. We provide a brief overview of the status of the literature-with a focus on psychosocial outcomes-and provide recommendations for future work and considerations in clinical applications. Despite the wealth of the existing literature exploring psychosocial outcomes, there is substantial room to expand our current knowledge base to more comprehensively address reasons for differential effects, with increased attention to issues of health equity and data harmonization around patient-reported outcomes.

PURPOSE: To describe positive mental health, or flourishing, and self-reported health trajectories among transition-aged young adults (TAYA) with developmental/learning and physical disabilities over a 12-year period, utilizing a population-based sample. METHODS: This study features a secondary analysis of national data from the Panel Study of Income Dynamics Transition to Adulthood Supplement. The analytic sample included all TAYA with (n = 487) and without (n = 810) disabilities, including developmental/learning disabilities (DD/LD), attention deficit hyperactivity disorder (ADHD), and speech, hearing, and vision impairments who participated in 2017 Transition to Adulthood Supplement data collection (n = 1,297; M age = 24.5, standard deviation = 2.40). We utilized linear mixed modeling to retrospectively describe flourishing and self-reported health trajectories across 12 years among TAYA with and without disabilities between ages 18 to 28, adjusting for demographic and developmental characteristics. RESULTS: Relative to TAYA without disabilities, TAYA with speech [0.10, 0.85] and vision impairments [0.10, 0.92], DD/LD [0.38, 1.11], and ADHD [0.27, 0.97] demonstrated lower flourishing. TAYA with speech [0.07, 0.36] and vision impairments [0.08, 0.38], DD/LD [0.15, 0.411], and ADHD [0.14, 0.93] reported lower health. Relative to TAYA with other disabilities, TAYA with ADHD [0.14, 0.93] and DD/LD [0.01, 0.29] reported lower flourishing and health, respectively. Interaction effects and descriptive analyses revealed distinct patterns of change for TAYA with ADHD. DISCUSSION: TAYA with disabilities report lower flourishing and health, relative to TAYA without disabilities. TAYA with specific disabilities differ in their flourishing and health trajectories. Findings can inform the development of interventions for TAYA with disabilities.

BACKGROUND: Social media data may augment understanding of the disease and treatment experiences and quality of life of youth with chronic medical conditions. Little is known about the willingness to share social media data for health research among youth with chronic medical conditions and the differences in health status between sharing and nonsharing youth with chronic medical conditions. OBJECTIVE: We aimed to evaluate the associations between patient-reported measures of disease symptoms and functioning and the willingness to share social media data. METHODS: Between February 2018 and August 2019, during routine clinic visits, survey data about social media use and the willingness to share social media data (dependent variable) were collected from adolescents in a national rheumatic disease registry. Survey data were analyzed with patient-reported measures of disease symptoms and functioning and a clinical measure of disease activity, which were collected through a parent study. We used descriptive statistics and multivariate logistic regression to compare patient-reported outcomes between youth with chronic medical conditions who opted to share social media data and those who did not opt to share such data. RESULTS: Among 112 youths, (age: mean 16.1, SD 1.6 y; female: n=72, 64.3%), 83 (74.1%) agreed to share social media data. Female participants were more likely to share (P=.04). In all, 49 (43.8%) and 28 (25%) participants viewed and posted about rheumatic disease, respectively. Compared to nonsharers, sharers reported lower mobility (T-score: mean 49.0, SD 9.4 vs mean 53.9, SD 8.9; P=.02) and more pain interference (T-score: mean 45.7, SD 8.8 vs mean 40.4, SD 8.0; P=.005), fatigue (T-score: mean 49.1, SD 11.0 vs mean 39.7, SD 9.7; P

To further the understanding of post-COVID conditions, and provide a more nuanced description of symptom progression, resolution, emergence, and reemergence after SARS-CoV-2 infection or COVID-like illness, analysts examined data from the Innovative Support for Patients with SARS-CoV-2 Infections Registry (INSPIRE), a prospective multicenter cohort study. This report includes analysis of data on self-reported symptoms collected from 1,296 adults with COVID-like illness who were tested for SARS-CoV-2 using a Food and Drug Administration-approved polymerase chain reaction or antigen test at the time of enrollment and reported symptoms at 3-month intervals for 12 months. Prevalence of any symptom decreased substantially between baseline and the 3-month follow-up, from 98.4% to 48.2% for persons who received a positive SARS-CoV-2 test results (COVID test-positive participants) and from 88.2% to 36.6% for persons who received negative SARS-CoV-2 test results (COVID test-negative participants). Persistent symptoms decreased through 12 months; no difference between the groups was observed at 12 months (prevalence among COVID test-positive and COVID test-negative participants = 18.3% and 16.1%, respectively; p>0.05). Both groups reported symptoms that emerged or reemerged at 6, 9, and 12 months. Thus, these symptoms are not unique to COVID-19 or to post-COVID conditions. Awareness that symptoms might persist for up to 12 months, and that many symptoms might emerge or reemerge in the year after COVID-like illness, can assist health care providers in understanding the clinical signs and symptoms associated with post-COVID-like conditions.

INTRODUCTION: We conducted a population-based observational study of all medical examiner cases in Los Angeles County from January 2012 through June 2021 in which methamphetamine was listed as a cause of or contributing factor to death (n = 6125). We aimed to characterize demographics, comorbidities, and co-involved substances in methamphetamine-related deaths longitudinally in Los Angeles County, California. METHODS: We used detailed death record data to manually classify fatalities by involvement of each organ system, opioids, alcohol, cocaine, other drugs or medications, and external/traumatic causes. Primary outcomes included: the number of methamphetamine-involved deaths, demographics of decedents, percentage of methamphetamine deaths also involving other drugs, and percentage of methamphetamine deaths involving different organ systems. We performed Mann Kendall tests of trends to identify statistically significant longitudinal changes. RESULTS: During the study period, the percentage of methamphetamine-related deaths involving opioids significantly increased from 16 % in 2012 to 54 % in 2021 (p

BackgroundThe prevalence, incidence, and interrelationships of persistent symptoms after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection vary. There are limited data on specific phenotypes of persistent symptoms. Using latent class analysis (LCA) modeling, we sought to identify whether specific phenotypes of COVID-19 were present 3 months and 6 months post-infection.MethodsThis was a multicenter study of symptomatic adults tested for SARS-CoV-2 with prospectively collected data on general symptoms and fatigue-related symptoms up to 6 months postdiagnosis. Using LCA, we identified symptomatically homogenous groups among COVID-positive and COVID-negative participants at each time period for both general and fatigue-related symptoms.ResultsAmong 5963 baseline participants (4504 COVID-positive and 1459 COVID-negative), 4056 had 3-month and 2856 had 6-month data at the time of analysis. We identified 4 distinct phenotypes of post-COVID conditions (PCCs) at 3 and 6 months for both general and fatigue-related symptoms; minimal-symptom groups represented 70% of participants at 3 and 6 months. When compared with the COVID-negative cohort, COVID-positive participants had higher occurrence of loss of taste/smell and cognition problems. There was substantial class-switching over time; those in 1 symptom class at 3 months were equally likely to remain or enter a new phenotype at 6 months.ConclusionsWe identified distinct classes of PCC phenotypes for general and fatigue-related symptoms. Most participants had minimal or no symptoms at 3 and 6 months of follow-up. Significant proportions of participants changed symptom groups over time, suggesting that symptoms present during the acute illness may differ from prolonged symptoms and that PCCs may have a more dynamic nature than previously recognized. Clinical Trials Registration. NCT04610515.

BackgroundMost research on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants focuses on initial symptomatology with limited longer-term data. We characterized prevalences of prolonged symptoms 3 months post-SARS-CoV-2 infection across 3 variant time-periods (pre-Delta, Delta, and Omicron).MethodsThis multicenter prospective cohort study of adults with acute illness tested for SARS-CoV-2 compared fatigue severity, fatigue symptoms, organ system-based symptoms, and ≥3 symptoms across variants among participants with a positive ("COVID-positive") or negative SARS-CoV-2 test ("COVID-negative") at 3 months after SARS-CoV-2 testing. Variant periods were defined by dates with ≥50% dominant strain. We performed multivariable logistic regression modeling to estimate independent effects of variants adjusting for sociodemographics, baseline health, and vaccine status.ResultsThe study included 2402 COVID-positive and 821 COVID-negative participants. Among COVID-positives, 463 (19.3%) were pre-Delta, 1198 (49.9%) Delta, and 741 (30.8%) Omicron. The pre-Delta COVID-positive cohort exhibited more prolonged severe fatigue (16.7% vs 11.5% vs 12.3%; P = .017) and presence of ≥3 prolonged symptoms (28.4% vs 21.7% vs 16.0%; P < .001) compared with the Delta and Omicron cohorts. No differences were seen in the COVID-negatives across time-periods. In multivariable models adjusted for vaccination, severe fatigue and odds of having ≥3 symptoms were no longer significant across variants.ConclusionsProlonged symptoms following SARS-CoV-2 infection were more common among participants infected during pre-Delta than with Delta and Omicron; however, these differences were no longer significant after adjusting for vaccination status, suggesting a beneficial effect of vaccination on risk of long-term symptoms. Clinical Trials Registration. NCT04610515.

BACKGROUND: Long-term symptoms following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are a major concern, yet their prevalence is poorly understood. METHODS: We conducted a prospective cohort study comparing adults with SARS-CoV-2 infection (coronavirus disease-positive [COVID+]) with adults who tested negative (COVID-), enrolled within 28 days of a Food and Drug Administration (FDA)-approved SARS-CoV-2 test result for active symptoms. Sociodemographic characteristics, symptoms of SARS-CoV-2 infection (assessed with the Centers for Disease Control and Prevention [CDC] Person Under Investigation Symptom List), and symptoms of post-infectious syndromes (ie, fatigue, sleep quality, muscle/joint pains, unrefreshing sleep, and dizziness/fainting, assessed with CDC Short Symptom Screener for myalgic encephalomyelitis/chronic fatigue syndrome) were assessed at baseline and 3 months via electronic surveys sent via text or email. RESULTS: Among the first 1000 participants, 722 were COVID+ and 278 were COVID-. Mean age was 41.5 (SD 15.2); 66.3% were female, 13.4% were Black, and 15.3% were Hispanic. At baseline, SARS-CoV-2 symptoms were more common in the COVID+ group than the COVID- group. At 3 months, SARS-CoV-2 symptoms declined in both groups, although were more prevalent in the COVID+ group: upper respiratory symptoms/head/eyes/ears/nose/throat (HEENT; 37.3% vs 20.9%), constitutional (28.8% vs 19.4%), musculoskeletal (19.5% vs 14.7%), pulmonary (17.6% vs 12.2%), cardiovascular (10.0% vs 7.2%), and gastrointestinal (8.7% vs 8.3%); only 50.2% and 73.3% reported no symptoms at all. Symptoms of post-infectious syndromes were similarly prevalent among the COVID+ and COVID- groups at 3 months. CONCLUSIONS: Approximately half of COVID+ participants, as compared with one-quarter of COVID- participants, had at least 1 SARS-CoV-2 symptom at 3 months, highlighting the need for future work to distinguish long COVID. CLINICAL TRIALS REGISTRATION: NCT04610515.

Objective: To evaluate changes in insulin pump use over two decades in a national U.S. sample. Research Design and Methods: We used data from the SEARCH for Diabetes in Youth study to perform a serial cross-sectional analysis to evaluate changes in insulin pump use in participants

BACKGROUND: There is a paucity of data on the risk factors for the hyperosmolar hyperglycemic state (HHS) compared with diabetic ketoacidosis (DKA) in pediatric type 2 diabetes (T2D). METHODS: We used the national Kids Inpatient Database to identify pediatric admissions for DKA and HHS among those with T2D in the years 2006, 2009, 2012, and 2019. Admissions were identified using ICD codes. Those aged

Purpose of reviewBehavioral economics (BE) concepts have become well studied tools in addressing patient issues, such as weight loss, smoking cessation, and medication adherence. Although predominantly studied in adult populations, emerging literature has shown BE's utility for adolescent/young adult (AYA) populations, offering a practical framework to safeguard AYA health and influence healthy decision making.Recent findingsWe identified substantive areas in which BE concepts have been applied in AYA populations (e.g., substance use) and outline how these concepts have been used as a tool to identify individuals at risk for poor outcomes and to leverage behavioral insights to improve health behaviors.SummaryBE research holds significant promise as a tool for clinicians and researchers to encourage healthy decision making in AYA populations. Yet, there are opportunities for BE research to expand further into current trends impacting adolescent health, such as electronic nicotine delivery systems, social media apps, and coronavirus disease 2019 vaccinations. Furthermore, the full degree of BE utility remains to be explored, as few studies demonstrate the translation of associative findings into direct interventions. Additional work is needed to formalize BE techniques into best practices that clinicians can implement in their daily practice.

IntroductionInsulin pumps and continuous glucose monitors (CGM) have many benefits in the management of type 1 diabetes. Unfortunately disparities in technology access occur in groups with increased risk for adverse effects (eg, low socioeconomic status [SES], public insurance).Research design & methodsUsing 2015 to 2016 data from 4,895 participants from the T1D Exchange Registry, a structural equation model (SEM) was fit to explore the hypothesized direct and indirect relationships between SES, insurance features, access to diabetes technology, and adverse clinical outcomes (diabetic ketoacidosis, hypoglycemia). SEM was estimated using the maximum likelihood method and standardized path coefficients are presented.ResultsHigher SES and more generous insurance coverage were directly associated with CGM use (β = 1.52, SE = 0.12, P < .0001 and β = 1.21, SE = 0.14, P < .0001, respectively). Though SES displayed a small inverse association with pump use (β = -0.11, SE = 0.04, P = .0097), more generous insurance coverage displayed a stronger direct association with pump use (β = 0.88, SE = 0.10, P < .0001). CGM use and pump use were both directly associated with fewer adverse outcomes (β = -0.23, SE = 0.06, P = .0002 and β = -0.15, SE = 0.04, P = .0002, respectively). Both SES and insurance coverage demonstrated significant indirect effects on adverse outcomes that operated through access to diabetes technology (β = -0.33, SE = 0.09, P = .0002 and β = -0.40, SE = 0.09, P < .0001, respectively).ConclusionsThe association between SES and insurance coverage and adverse outcomes was primarily mediated through diabetes technology use, suggesting that disparities in diabetes outcomes have the potential to be mitigated by addressing the upstream disparities in technology use.

The authors argue that postacute SARS-CoV-2 syndrome presents unique challenges in determining risk factors, natural history, and proper management. They call for strategies and actions that are based on rigorous, high-quality evidence.

BackgroundReports on medium and long-term sequelae of SARS-CoV-2 infections largely lack quantification of incidence and relative risk. We describe the rationale and methods of the Innovative Support for Patients with SARS-CoV-2 Registry (INSPIRE) that combines patient-reported outcomes with data from digital health records to understand predictors and impacts of SARS-CoV-2 infection.MethodsINSPIRE is a prospective, multicenter, longitudinal study of individuals with symptoms of SARS-CoV-2 infection in eight regions across the US. Adults are eligible for enrollment if they are fluent in English or Spanish, reported symptoms suggestive of acute SARS-CoV-2 infection, and if they are within 42 days of having a SARS-CoV-2 viral test (i.e., nucleic acid amplification test or antigen test), regardless of test results. Recruitment occurs in-person, by phone or email, and through online advertisement. A secure online platform is used to facilitate the collation of consent-related materials, digital health records, and responses to self-administered surveys. Participants are followed for up to 18 months, with patient-reported outcomes collected every three months via survey and linked to concurrent digital health data; follow-up includes no in-person involvement. Our planned enrollment is 4,800 participants, including 2,400 SARS-CoV-2 positive and 2,400 SARS-CoV-2 negative participants (as a concurrent comparison group). These data will allow assessment of longitudinal outcomes from SARS-CoV-2 infection and comparison of the relative risk of outcomes in individuals with and without infection. Patient-reported outcomes include self-reported health function and status, as well as clinical outcomes including health system encounters and new diagnoses.ResultsParticipating sites obtained institutional review board approval. Enrollment and follow-up are ongoing.ConclusionsThis study will characterize medium and long-term sequelae of SARS-CoV-2 infection among a diverse population, predictors of sequelae, and their relative risk compared to persons with similar symptomatology but without SARS-CoV-2 infection. These data may inform clinical interventions for individuals with sequelae of SARS-CoV-2 infection.

BackgroundIn response to the COVID-19 pandemic and associated adoption of scarce resource allocation (SRA) policies, we sought to rapidly deploy a novel survey to ascertain community values and preferences for SRA and to test the utility of a brief intervention to improve knowledge of and values alignment with a new SRA policy. Given social distancing and precipitous evolution of the pandemic, Internet-enabled recruitment was deemed the best method to engage a community-based sample. We quantify the efficiency and acceptability of this Internet-based recruitment for engaging a trial cohort and describe the approach used for implementing a health-related trial entirely online using off-the-shelf tools.MethodsWe recruited 1971 adult participants (≥ 18 years) via engagement with community partners and organizations and outreach through direct and social media messaging. We quantified response rate and participant characteristics of our sample, examine sample representativeness, and evaluate potential non-response bias.ResultsRecruitment was similarly derived from direct referral from partner organizations and broader social media based outreach, with extremely low study entry from organic (non-invited) search activity. Of social media platforms, Facebook was the highest yield recruitment source. Bot activity was present but minimal and identifiable through meta-data and engagement behavior. Recruited participants differed from broader populations in terms of sex, ethnicity, and education, but had similar prevalence of chronic conditions. Retention was satisfactory, with entrance into the first follow-up survey for 61% of those invited.ConclusionsWe demonstrate that rapid recruitment into a longitudinal intervention trial via social media is feasible, efficient, and acceptable. Recruitment in conjunction with community partners representing target populations, and with outreach across multiple platforms, is recommended to optimize sample size and diversity. Trial implementation, engagement tracking, and retention are feasible with off-the-shelf tools using preexisting platforms.Trial registrationClinicalTrials.gov NCT04373135 . Registered on May 4, 2020.

BackgroundScreening, Brief Intervention, and Referral to Treatment (SBIRT) for substance use is increasingly used in clinical care. Despite its endorsement by several professional societies, the U.S. Preventive Services Task Force has found the evidence base for adolescent SBIRT to be insufficient. A measure of substance use that is brief enough to embed in the electronic medical record could be used in pragmatic trials that enroll large numbers of primary care patients, facilitating research in this area.MethodsParticipants aged 14-18 years (N = 492) completed an electronic survey that included a 90-day Timeline Follow Back (TLFB) Calendar, considered the criterion standard, along with three survey questions about the frequency of their alcohol use: days of use in the past three months, average days of use per week in the past three months, and average days of use per month in the past year. We calculated the correlation between the number of days reported on each of the three questions and the total number of days of use reported on the TLFB.ResultsThe question on number of days of use in the past three months was highly correlated with alcohol consumption frequency on the 90-day TLFB assessment (rho = 0.903). Other items displayed lower but satisfactory correlation with the TLFB (rho = 0.719-0.830).ConclusionsA single question about past 3-month frequency of alcohol use was highly correlated with alcohol use frequency on the criterion standard TLFB among adolescents presenting for routine primary care.

BackgroundStable, affordable housing is an established determinant of health. As affordable housing shortages across the USA threaten to displace people from their homes, it is important to understand the implications of cost-related residential moves for healthcare access.ObjectiveTo examine the relationship between cost-related moves and unmet medical needs.DesignWe performed a cross-sectional analysis of 7 waves (2011-2017) of the California Health Interview Survey.ParticipantsWe included all respondents ages 18 and older.Main measuresThe primary predictor variable was residential move history in the past 5 years (cost-related move, non-cost-related move, or no move). The primary outcome was unmet medical needs in the past year (necessary medications and/or medical care that were delayed or not received).Key resultsOur sample included 146,417 adults (42-47% response rate), representing a weighted population of 28,518,590. Overall, 20.3% of the sample reported unmet medical needs in the past year, and 4.9% reported a cost-related move in the past 5 years. In multivariable logistic regression models, adjusted risk of unmet medical needs increased for adults with both cost-related moves (aOR 1.38; 95% CI 1.19-1.59) and non-cost-related moves (aOR 1.17; 95% CI 1.09-1.26) compared to those with no moves. Among people who had moved, those with cost-related moves were more likely to report unmet medical needs compared to people with non-cost-related moves (p = 0.03).ConclusionsPeople who have moved due to unaffordable housing represent a population at increased risk for unmet medical needs. Policy makers seeking to improve population health should consider strategies to limit cost-related moves and to mitigate their adverse effects on healthcare access.

The coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has rapidly involved the entire world and exposed the pressing need for collaboration between public health and other stakeholders from the clinical, scientific, regulatory, pharmaceutical, and medical device and technology communities. To discuss how to best protect people with diabetes from serious outcomes from COVID-19, Diabetes Technology Society, in collaboration with Sansum Diabetes Research Institute, hosted the "International COVID-19 and Diabetes Virtual Summit" on August 26-27, 2020. This unique, unprecedented real-time conference brought together physicians, scientists, government officials, regulatory experts, industry representatives, and people with diabetes from six continents to review and analyze relationships between COVID-19 and diabetes. Over 800 attendees logged in. The summit consisted of five sessions: (I) Keynotes, (II) Preparedness, (III) Response, (IV) Recovery, and (V) Surveillance; eight parts: (A) Background, (B) Resilience, (C) Outpatient Care, (D) Inpatient Care, (E) Resources, (F) High-Risk Groups, (G) Regulation, and (H) The Future; and 24 sections: (1) Historic Pandemics and Impact on Society, (2) Pathophysiology/Risk Factors for COVID-19, (3) Social Determinants of COVID-19, (4) Preparing for the Future, (5) Medications and Vaccines, (6) Psychology of Patients and Caregivers, (7) Outpatient Treatment of Diabetes Mellitus and Non-Pharmacologic Intervention, (8) Technology and Telehealth for Diabetes Outpatients, (9) Technology for Inpatients, (10) Management of Diabetes Inpatients with COVID-19, (11) Ethics, (12) Accuracy of Diagnostic Tests, (13) Children, (14) Pregnancy, (15) Economics of Care for COVID-19, (16) Role of Industry, (17) Protection of Healthcare Workers, (18) People with Diabetes, (19) International Responses to COVID-19, (20) Government Policy, (21) Regulation of Tests and Treatments, (22) Digital Health Technology, (23) Big Data Statistics, and 24) Patient Surveillance and Privacy. The two keynote speeches were entitled (1) COVID-19 and Diabetes-Meeting the Challenge and (2) Knowledge Gaps and Research Opportunities for Diabetes and COVID-19. While there was an emphasis on diabetes and its interactions with COVID-19, the panelists also discussed the COVID-19 pandemic in general. The meeting generated many novel ideas for collaboration between experts in medicine, science, government, and industry to develop new technologies and disease treatment paradigms to fight this global pandemic.

ObjectiveTo determine the frequency and predictors of antibiotic escalation in response to the inpatient sepsis screen at our institution.DesignRetrospective cohort study.SettingTwo affiliated academic medical centers in Los Angeles, California.PatientsHospitalized patients aged 18 years and older who had their first positive sepsis screen between January 1, 2019, and December 31, 2019, on acute-care wards.MethodsWe described the rate and etiology of antibiotic escalation, and we conducted multivariable regression analyses of predictors of antibiotic escalation.ResultsOf the 576 cases with a positive sepsis screen, antibiotic escalation occurred in 131 cases (22.7%). New infection was the most documented etiology of escalation, with 76 cases (13.2%), followed by known pre-existing infection, with 26 cases (4.5%). Antibiotics were continued past 3 days in 17 cases (3.0%) in which new or existing infection was not apparent. Abnormal temperature (adjusted odds ratio [aOR], 3.00; 95% confidence interval [CI], 1.91-4.70) and abnormal lactate (aOR, 2.04; 95% CI, 1.28-3.27) were significant predictors of antibiotic escalation. The patient already being on antibiotics (aOR, 0.54; 95% CI, 0.34-0.89) and the positive screen occurred during a nursing shift change (aOR, 0.36; 95% CI, 0.22-0.57) were negative predictors. Pneumonia was the most documented new infection, but only 19 (50%) of 38 pneumonia cases met full clinical diagnostic criteria.ConclusionsInpatient sepsis screening led to a new infectious diagnosis in 13.2% of all positive sepsis screens, and the risk of prolonged antibiotic exposure without a clear infectious source was low. Pneumonia diagnostics and lactate testing are potential targets for future stewardship efforts.

ImportanceThe Affordable Care Act (ACA) sought to improve access and affordability of health insurance. Although most ACA policies targeted childless adults, the extent to which these policies also impacted families with children remains unclear.ObjectiveTo examine changes in health care-related financial burden for US families with children before and after the ACA was implemented based on income eligibility for ACA policies.Design, setting, and participantsData used for this cohort study were obtained from the 2000-2017 Medical Expenditure Panel Survey, a nationally representative, population-based survey. Multivariable regression with a difference-in-differences estimator was used to examine changes in family financial burden before and after ACA implementation according to income-based ACA eligibility groups (≤138% [lowest-income], 139%-250% [low-income], 251%-400% [middle-income], and >400% [high-income] federal poverty level). The cohort included 92 165 families with 1 or more children (age ≤18 years) and 1 or more adult parents/guardians.ExposuresIncome-based eligibility groups during post-ACA years (calendar years 2014-2017) vs pre-ACA years (calendar years 2000-2013).Main outcomes and measuresFamily annual out-of-pocket (OOP) health care and premium cost burden relative to income. High OOP burden was determined based on a previously validated algorithm with relative cost thresholds that vary across incomes, and extreme OOP burden was defined as costs exceeding 10% of income. Premiums exceeding 9.5% of income were classified as burdensome and premiums relative to median household income defined an unaffordability index.ResultsCompared with high-income families who experienced a lesser change post-ACA implementation (high OOP burden, 1.1% pre-ACA vs 0.9% post-ACA), the lowest-income families saw the greatest reduction in high OOP burden (35.6% pre-ACA vs 23.7% post-ACA; difference-in-differences: -11.4%; 95% CI, -13.2% to -9.5%) followed by low-income families (24.6% pre-ACA vs 17.3% post-ACA, difference-in-differences: -6.8%; 95% CI, -8.7% to -4.9%) and middle-income families (6.1% pre-ACA vs 4.6% post-ACA, difference-in-differences: -1.2%; 95% CI, -2.3% to -0.01%). Although premiums rose for all groups, premium unaffordability was the least exacerbated for the lowest-, low-, and middle-income families compared with higher-income families.Conclusions and relevanceThe findings of this study suggest that low- and middle-income families with children who were eligible for ACA Medicaid expansions and Marketplace subsidies experienced greater reductions in health care-related financial burden after the ACA was implemented compared with families with higher incomes. However, despite ACA policies, many low- and middle-income families with children appear to continue to face considerable financial burden from premiums and OOP costs.

BackgroundYouth with chronic medical conditions (YCMC) use alcohol at levels similar to their healthy peers but face elevated risk for adverse health consequences. As salient reasons to abstain from or limit drinking (RALD) among YCMC are unknown, we sought to identify clusters of RALD and test associations with use behaviors.MethodsEligible YCMC (ages 9-18) recruited from outpatient clinics reported their use behaviors and importance of potential RALD. Cluster analysis was used to discern RALD patterns, which were examined as predictors of alcohol use using multivariate regression.ResultsAmong 398 participants, 30.9% reported past year alcohol use. Concerns about impacts on medications, school, and disease status were the most frequently endorsed RALD; prior negative experiences with alcohol and family history were the least frequently endorsed. Five RALD clusters were identified for all YCMC and 2 for recent drinkers. Compared to the cluster with high endorsement of multiple general and health-related RALD, those predominantly citing concerns about addiction and those not strongly endorsing any RALD consistently reported greater alcohol use. Among recent drinkers, the cluster characterized by low concern across multiple RALD also consistently reported greater alcohol use compared to their counterparts expressing moderate concern.ConclusionsFor YCMC, RALD are complex but endorsement of multiple general and health-related RALD is associated with less use, and health concerns are especially prevalent. More research is needed to understand how salient RALD can inform tailored interventions that aim to delay and reduce substance use and improve health outcomes for YCMC.

Background and objectivesYouth with chronic physical conditions (CPCs) may be at greater risk for developing chronic mental health conditions (MHCs), and limitations in the ability to engage in developmentally appropriate activities may contribute to the risk of MHCs among youth with CPCs. We compared the risk of incident MHCs in youth with and without CPCs and explored whether activity limitations contribute to any such association.MethodsThe 2003-2014 Medical Expenditure Panel Survey provided a nationally representative cohort of 48 572 US youth aged 6 to 25 years. We calculated the 2-year cumulative incidence of MHCs overall and by baseline CPC status. Cox proportional hazard models were used to estimate the association between CPCs and incident MHCs, adjusting for sociodemographic characteristics. Stepwise models and the Sobel test evaluated activity limitations as a mediator of this relationship.ResultsThe 2-year cumulative incidence of MHCs was 7.8% overall, 11.5% in youth with CPCs (14.7% of sample), and 7.1% in those without. The adjusted risk of incident MHCs was 51% greater (adjusted hazard ratio 1.51; 95% confidence interval 1.30-1.74) in youth with CPCs compared with those without. Activity limitations mediated 13.5% of this relationship (P < .001).ConclusionsThis nationally representative cohort study supports the hypotheses that youth with CPCs have increased risk for MHCs and that activity limitations may play a role in MHC development. Youth with CPCs may benefit from services to bolster their ability to participate in developmentally important activities and to detect and treat new onset MHCs.

PurposeWe seek to determine how youth with chronic medical conditions experience alcohol screening and counseling.MethodsAdolescents with type I diabetes, juvenile idiopathic arthritis, moderate persistent asthma, cystic fibrosis, attention deficit hyperactivity disorder, or inflammatory bowel disease were surveyed. Descriptive statistics and regression analysis quantified rates of asking and counseling about alcohol.ResultsOf 390 participants (75.1% white/non-Hispanic, 51.8% female, average age 16.4 years), 70% reported being asked about their alcohol use by a healthcare provider, and 76% reported receiving at least one message regarding alcohol and health. Of past year drinkers, 54% disclosed use to their provider. Only 2.0% of youth reported receiving the message "I should not drink."ConclusionsMost youth with chronic medical conditions were asked and counseled about alcohol use although few heard unambiguous recommendations to avoid alcohol consumption.

BackgroundGiven a rapidly changing policy landscape, we sought to characterize the effects of state marijuana laws on parents' views of marijuana use by their teenage children.MethodsData are from 595 respondents to a nationally administered, web-based survey of parents of adolescents (ages 13-18 years) with any of three chronic conditions (type 1 diabetes, rheumatic disease, attention-deficit/hyperactivity disorder). Multivariate ordinal logistic regression was used to model the effects of parents' reports of state cannabis laws on their views toward marijuana use by their child.ResultsWhile 89.9% said any marijuana use was risky for their child, 27.9% would approve of its use if prescribed as medicine. Parents reporting marijuana decriminalization (11.1%) were more amenable to teenage use, less concerned about how marijuana might impact their child's condition, more accepting of the safety of marijuana as medicine, and approved its use with a prescription. Parents reporting legal medical (35.6%) or recreational (5.7%) use were more likely to report that their child has tried or used marijuana regularly. Parents reporting legal recreational use were less likely to agree that marijuana has medical benefits for their child.ConclusionsAmong parents of medically vulnerable children, perceiving state marijuana policies as more permissive is strongly associated with lower perceived riskiness of marijuana use for their children. State marijuana policies are changing with implications for how parents of medically vulnerable youth view and potentially govern marijuana use by their medically vulnerable children.

BackgroundWe sought to quantify the efficiency and acceptability of Internet-based recruitment for engaging an especially hard-to-reach cohort (college-students with type 1 diabetes, T1D) and to describe the approach used for implementing a health-related trial entirely online using off-the-shelf tools inclusive of participant safety and validity concerns.MethodWe recruited youth (ages 17-25 years) with T1D via a variety of social media platforms and other outreach channels. We quantified response rate and participant characteristics across channels with engagement metrics tracked via Google Analytics and participant survey data. We developed decision rules to identify invalid (duplicative/false) records (N = 89) and compared them to valid cases (N = 138).ResultsFacebook was the highest yield recruitment source; demographics differed by platform. Invalid records were prevalent; invalid records were more likely to be recruited from Twitter or Instagram and differed from valid cases across most demographics. Valid cases closely resembled characteristics obtained from Google Analytics and from prior data on platform user-base. Retention was high, with complete follow-up for 88.4%. There were no safety concerns and participants reported high acceptability for future recruitment via social media.ConclusionsWe demonstrate that recruitment of college students with T1D into a longitudinal intervention trial via social media is feasible, efficient, acceptable, and yields a sample representative of the user-base from which they were drawn. Given observed differences in characteristics across recruitment channels, recruiting across multiple platforms is recommended to optimize sample diversity. Trial implementation, engagement tracking, and retention are feasible with off-the-shelf tools using preexisting platforms.

Background: Screening, Brief Intervention and Referral to Treatment (SBIRT) is a clinical guideline that can help delay, prevent or reduce substance use behaviors in youth. We aimed to describe the experiences of middle and high school (MS and HS) students attending a school with an SBIRT program. Methods: This was a survey study conducted in 2 school districts that implemented SBIRT programs prior to statewide roll-out of mandatory school SBIRT in Massachusetts, in which students were asked about past-year substance use and then received brief counseling by a school professional. Students in grades that received SBIRT were subsequently invited to complete an electronic questionnaire about their SBIRT experience. Results: A total of 890 students were included in the study (63.7% MS, 36.3% HS). Experiences of school SBIRT were predominantly positive: 74.0% of participants reported that the information received was useful. Students who reported having used substances were less likely to agree that "schools should screen for substance use" than students who did not report substance use (AOR: 0.39, 95%CI: 0.29-0.53). Conclusions: Most respondents found SBIRT of value, though students with past-year substance use were less positive about the experience. More research is needed to optimize SBIRT delivery in schools.

BackgroundUninsurance for young adults (YAs) was greatly reduced by the Affordable Care Act (ACA). However, reforms may not be equally beneficial for all YAs and certain policies may exacerbate, rather than resolve, pre-existing disparities.ObjectiveTo investigate inequalities in YAs' insurance coverage pre- (2000-2010) and post-federal health reforms (dependent coverage expansion, 2010-2013, and Medicaid/Marketplace expansions, 2014-2016), among a nationally representative sample.DesignA difference-in-differences estimator (controlling for sociodemographics) was used to determine the effects of the ACA for young adults (ages 19-25) compared to adolescents (ages 13-18) and older YA (ages 26-30) counterparts; triple-difference estimators quantified differential policy effects by sociodemographics.ParticipantsThree hundred eighty-seven thousand six hundred thirty-five participants in the 2000-2016 National Health Interview Survey.Main measuresRespondents reported their health insurance coverage types during the last 12 months, reasons uninsured, and detailed sociodemographics.Key resultsAn adjusted difference-in-differences estimator quantified a 12.3 percentage point increase (p

BackgroundCollection of patient-reported outcomes measures (PROs) may augment clinical data and inform health research, improving care, yet approaches to sustaining interest among patient cohorts in research participation are needed. One approach may involve returning aggregate research results (ARRs), which may help patients contextualize personal experiences, prompt conversations with providers or family, and encourage information seeking. This model has been demonstrated for Web-based patient-centered registries. Studies with clinical cohorts may further elucidate the model, its impacts on interest in research participation and planned actions, and potential for participants to experience this as helpful or harmful-gap areas.ObjectiveWe sought to investigate the impacts of returning ARRs comprising summaries of PROs and clinical metrics to parents of children with rheumatic disease, assessing interest in future research participation among parents who viewed ARRs and plans for acting on returned information. Further, we sought to investigate reactions to viewing ARRs and how these reactions impacted planned actions.MethodsClinical and PRO data were obtained about children in a national clinical disease registry, summarized, and processed into annotated infographics, comprising ARRs for children's parents. Parents who viewed ARRs (n=111) were surveyed about the information's perceived value and their reactions. Reaction patterns were summarized using principal components analysis (PCA), and associations among reaction patterns and interest in research participation and planned actions were estimated using multivariate logistic regression.ResultsParental endorsement of the value of ARRs for understanding their child's condition and making care decisions was high (across 10 topics for which ARRs were shared, 42.2%-77.3% of the parents reported information was "very valuable"). Most (58/111, 52.3%) parents reported being more interested in participating in research after viewing ARRs, with the remainder reporting that their interest levels were unchanged. Reactions to viewing ARRs reflected experiencing validation/affirmation and information burden based on PCA. Reactions were not associated with child demographic or clinical characteristics and PROs, except that parents from households with less education reported greater information burden than those from more educated households (P=.007). In adjusted models, parents with higher validation/affirmation scores had increased odds of reporting heightened interest in research participation (adjusted odds ratio [AOR] 1.97, 95% CI 1.18-3.30), while higher information burden scores were associated with decreased odds of planned discussions with their child (AOR 0.59, 95% CI 0.36-0.95) and increased odds of planned discussions with providers (AOR 1.75, 95% CI 1.02-3.00).ConclusionsReturning ARRs may foster a "virtuous cycle" of research engagement, especially where ARRs are experienced favorably and affect plans to share and discuss ARRs in support of a child's chronic disease care and treatment. Reactions to ARRs vary with education level, underscoring the need for attention to equity for this model.

Children with Juvenile Idiopathic Arthritis (JIA) often have poor health-related quality of life (HRQOL) despite advances in treatment. Patient-centered research may shed light on how patient experiences of treatment and disease contribute to HRQOL, pinpointing directions for improving care and enhancing outcomes. Parent proxies of youth enrolled in the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry shared patient-reported outcomes about their child's HRQOL and experiences of disease and treatment burden (pain interference, morning stiffness, history of medication side effects and methotrexate intolerance). Contributions of these measures to HRQOL were estimated using generalized estimating equations accounting for site and patient demographics. Patients (N = 180) were 81.1% white non-Hispanic and 76.7% female. Mean age was 11.8 (SD = 3.6) years, mean disease duration was 7.7 years (SD = 3.5). Mean Total Pediatric Quality of Life was 76.7 (SD = 18.2). Mean pain interference score was 50.1 (SD = 11.1). Nearly one-in-five (17.8%) youth experienced >15 min of morning stiffness on a typical day, more than one quarter (26.7%) reported ≥1 serious medication side effect and among 90 methotrexate users, 42.2% met criteria for methotrexate intolerance. Measures of disease and treatment burden were independently negatively associated with HRQOL (all p-values

Background and objectivesDespite their medical vulnerability, youth with chronic medical conditions (YCMCs) drink at levels commensurate with healthy youth. However, information about the prevalence of alcohol use among YCMCs who take alcohol-interactive (AI) medications is scant. To address gaps and inform interventions, we quantified simultaneous exposure to alcohol use and AI medications among YCMCs, hypothesizing that AI exposure would be associated with lower alcohol consumption and mediated by perceptions of alcohol-medication interference.MethodsAdolescents with type 1 diabetes, juvenile idiopathic arthritis, moderate persistent asthma, cystic fibrosis, attention-deficit/hyperactivity disorder, or inflammatory bowel disease completed an electronic survey. We measured the prevalence of exposure to AI medications and the associations with past-year alcohol use as well as binge drinking and total consumption volume in the past 3 months using multivariate regression to estimate the odds of alcohol use given AI medication exposure and perceptions of interference.ResultsOf 396 youth, 86.4% were on AI medications, of whom, 35.4% reported past-year alcohol use (46.3% among those who were not on AI medications). AI medication use was associated with 43% lower odds of past-year alcohol use (adjusted odds ratio: 0.57; 95% confidence interval: 0.39-0.85) and lower total consumption (β = -.43; SE = 0.11; P < .001). Perceptions of alcohol-medication interference partially mediated the relationship between AI medication exposure and past-year alcohol use (Sobel test P = .05).ConclusionsMany YCMCs reported using alcohol; however, drinking was less likely among those who were taking AI medications. Perceptions about alcohol-medication interference mediated the association between drinking and AI medication exposure, suggesting the potential salience of interventions that emphasize alcohol-related risks.

ObjectiveTo determine the effect of state-level dependent coverage expansion (DCE) with and without other state health reforms on exit from dependent coverage for adolescents and young adults (AYA).Data sourcesAdministrative longitudinal data for 131,542 privately insured AYA in Massachusetts (DCE with other reforms) versus Maine and New Hampshire (DCE without other reforms) across three periods: prereform (1/00-12/06), poststate reform (1/07-9/10), and postfederal reform (10/10-12/12).Study designA difference-in-differences estimator was used to determine the rate of exit from dependent coverage, age at exit from dependent coverage, and re-uptake of dependent coverage among AYA in states with comprehensive reforms versus DCE only.Principal findingsImplementation of DCE with other reforms was significantly associated with a 23 percent reduction in exit from dependent coverage among AYA compared to the reduction observed for DCE alone. Additionally, comprehensive reforms were associated with over two additional years of dependent coverage for the average AYA and a 33 percent increase in the odds of regaining dependent coverage after a prior loss.ConclusionsFindings suggest that an individual mandate and other reforms may enhance the effect of DCE in preventing loss of coverage among AYA.

A 19-year-old woman on immunomodulatory therapy presents to her provider for a routine physical. She is diagnosed with chlamydia trachomatis during screening for sexually transmitted infections (STIs) and returns to the clinic for directly observed treatment with azithromycin. She later calls the practice to express dismay that her parents questioned her about her sexual activity after they received an explanation of benefits for services rendered.

PurposeWhile education-based disparities in health are common, the extent to which chronic conditions contribute to education gaps and to consequent health disparities is not fully understood. As such, we sought to investigate educational aspirations, expectations, and attainment among youth with and without chronic conditions and to determine if these relationships mediated subsequent disparities in health and well-being.MethodsLongitudinal data on 3,518 youths are from the 1997-2013 Panel Study of Income Dynamics, a population-based survey. Multivariate regression was used to assess disparities in educational aspirations, expectations, and attainment by chronic conditions and the subsequent effects on health and well-being, adjusting for important potential confounders.ResultsYouth with chronic medical conditions (YCMCs) did not report significantly lower educational aspirations than their healthy peers; however, YCMC reported lower expectations for their educational attainment and fewer YCMC had earned their desired degree by the end of follow-up (e.g., ≥bachelor's degree: 19.9% for YCMC vs. 26.0% for peers, p < .05). YCMC reported significantly worse general health, lower life satisfaction, and lower psychological well-being in young adulthood than did their healthy peers. These disparities persisted after adjustment for confounders; the association between chronic disease and health was partially, but significantly, mediated by actual educational attainment.ConclusionsFindings suggest an important risk mechanism through which YCMC may acquire socioeconomic disadvantage as they develop and progress through educational settings. Disproportionate lags in education, from expectation to attainment, may in turn increase YCMC's susceptibility to poor health and well-being in the future.

ObjectiveAdolescents with attention-deficit/hyperactivity disorder (ADHD) are at increased risk for alcohol and marijuana use. This study's objective is to describe adolescents' ADHD-specific reasons for marijuana use, knowledge of ADHD-specific alcohol risks, and reported subspecialty provider messaging/education regarding alcohol use among adolescents with ADHD.MethodsYouths with ADHD aged 12 to 18 years completed a survey about alcohol and marijuana use, ADHD-specific reasons for marijuana use, knowledge of ADHD-specific alcohol risks, and reported provider messaging/education regarding alcohol use. We assessed knowledge toward substance use using descriptive statistics. We used χ and t tests to determine whether knowledge or provider messaging/education differed by sociodemographic characteristics.ResultsOf the 96 participants, 61.5% were male, average age was 15.7 years; 31.3% reported past-year alcohol use and 20.8% reported past-year marijuana use. The majority (65.2%) said "no/don't know" to both "Can alcohol make ADHD symptoms worse?" and "Can alcohol interfere or get in the way of the medications you take?" Older participants were more likely to correctly answer the medication question "yes." Despite most (74%) participants reporting that their provider asked about alcohol use, few youth reported that their providers gave specific messages/education that alcohol could make ADHD symptoms worse (9.4%) or interfere with ADHD medications (14.6%); older participants and past-year alcohol users were more likely to have received these alcohol-specific messages.ConclusionMany youth with ADHD are unaware of the risks of alcohol use in relation to ADHD and providers are not consistently discussing these risks in the context of clinical ADHD care.

IntroductionAdolescence and emergent adulthood are periods of peak prevalence for substance use that pose risks for short- and long-term health harm, particularly for youth with chronic medical conditions (YCMC) who are transitioning from adolescence to adulthood. As there have been no nationally representative studies of substance use during this period for these medically vulnerable youth, the authors sought to examine onset and intensification of these behaviors for a national sample of youth with and without chronic conditions.MethodsLongitudinal data are from 2,719 youth between the ages of 12 and 26 years interviewed from 2002 to 2011 for the Panel Study of Income Dynamics, Child Development and Transition to Adulthood Supplements, a nationally representative, population-based survey. Multivariate generalized linear mixed models were used to estimate patterns of alcohol, tobacco, and marijuana use during adolescence and emergent adulthood for youth with and without chronic conditions, adjusting for potential confounders.ResultsOverall, 68.8%, 44.3%, and 47.8% of youth reported ever trying alcohol, tobacco, and marijuana, respectively. Among users, 42.2%, 73.4%, and 50.3% of youth reported binge drinking, regular cigarette use, and recent marijuana use, respectively. YCMC were more likely to engage in any and heavier substance use; transition years and early adulthood were periods of peak risk for YCMC compared with their healthy peers.ConclusionsSubstance use among YCMC during adolescence and emergent adulthood is a substantial concern. Increased prevention and case detection are in order to address these behaviors and promote optimal health outcomes for medically vulnerable youth.

The purpose of this study was to determine the relationships among preconception stressful life events (PSLEs), women's alcohol and tobacco use before and during pregnancy, and infant birthweight. Data were from the Early Childhood Longitudinal Study-Birth Cohort (n = 9,350). Data were collected in 2001. Exposure to PSLEs was defined by indications of death of a parent, spouse, or previous live born child; divorce or marital separation; or fertility problems prior to conception. Survey data determined alcohol and tobacco usage during the 3 months prior to and in the final 3 months of pregnancy. We used staged multivariable logistic regression to estimate the effects of women's substance use and PSLEs on the risk of having a very low (

BackgroundThe life course perspective suggests a pathway may exist among maternal exposure to stressful life events prior to conception (PSLEs), infant birth weight and subsequent offspring health, whereby PSLEs are part of a 'chains-of-risk' that set children on a certain health pathway. No prior study has examined the link between PSLEs and offspring health in a nationally representative sample of US mothers and their children. We used longitudinal, nationally representative data to evaluate the relation between maternal exposure to PSLEs and subsequent measures of infant and toddler health, taking both maternal and obstetric characteristics into account.MethodsWe examined 6900 mother-child dyads participating in 2 waves of the nationally representative Early Childhood Longitudinal Study-Birth Cohort (n=6900). Infant and toddler health outcomes assessed at 9 and 24 months included overall health status, special healthcare needs and severe health conditions. Adjusted path analyses examined associations between PSLEs, birth weight and child health outcomes.ResultsIn adjusted analyses, PSLEs increased the risk for very low birth weight (VLBW,

BackgroundIn an effort to reduce barriers to screening for alcohol use in pediatric primary care, the National Institute on Alcoholism and Alcohol Abuse (NIAAA) developed a two-question Youth Alcohol Screening Tool derived from population-based survey data. It is unknown whether this screening tool, designed for use with general populations, accurately identifies risk among youth with chronic medical conditions (YCMC). This growing population, which comprises nearly one in four youth in the US, faces a unique constellation of drinking-related risks.MethodTo validate the NIAAA Youth Alcohol Screening Tool in a population of YCMC, we performed a cross-sectional validation study with a sample of 388 youth ages 9-18 years presenting for routine subspecialty care at a large children's hospital for type 1 diabetes, persistent asthma, cystic fibrosis, inflammatory bowel disease, or juvenile idiopathic arthritis. Participants self-administered the NIAAA Youth Alcohol Screening Tool and the Diagnostic Interview Schedule for Children as a criterion standard measure of alcohol use disorders (AUD). Receiver operating curve analysis was used to determine cut points for identifying youth at moderate and highest risk for an AUD.ResultsNearly one third of participants (n = 118; 30.4%) reported alcohol use in the past year; 86.4% (106) of past year drinkers did not endorse any AUD criteria, 6.8% (n = 8) of drinkers endorsed a single criterion, and 6.8% of drinkers met criteria for an AUD. Using the NIAAA tool, optimal cut points found to identify youth at moderate and highest risk for an AUD were ≥ 6 and ≥12 drinking days in the past year, respectively.ConclusionsThe NIAAA Youth Alcohol Screening Tool is highly efficient for detecting alcohol use and discriminating disordered use among YCMC. This brief screen appears feasible for use in specialty care to ascertain alcohol-related risk that may impact adversely on health status and disease management.

ObjectivesWe used objective oral health screening and survey data to explore individual-, psychosocial-, and community-level predictors of oral health status in a statewide population of adults.MethodsWe examined oral health status in a sample of 1453 adult Wisconsin residents who participated in the Survey of the Health of Wisconsin Oral Health Screening project, conducted with the Wisconsin Department of Health Services during 2010.ResultsWe found significant disparities in oral health status across all individual-, psychosocial-, and community-level predictors. More than 15% of participants had untreated cavities, and 20% did not receive needed oral health care. Individuals who self-reported unmet need for dental care were 4 times as likely to have untreated cavities as were those who did not report such a need, after controlling for sociodemographic and behavioral factors.ConclusionsOur results suggested that costs were a primary predictor of access to care and poor oral health status. The results underscored the role that primary care, in conjunction with dental health care providers, could play in promoting oral health care, particularly in reducing barriers (e.g., the costs associated with unmet dental care) and promoting preventive health behaviors (e.g., teeth brushing).

ImportanceA timely, well-coordinated transfer from pediatric- to adult-focused primary care is an important component of high-quality health care, especially for youths with chronic health conditions. Current recommendations suggest that primary-care transfers for youths occur between 18 and 21 years of age. However, the current epidemiology of transfer timing is unknown.ObjectiveTo examine the timing of transfer to adult-focused primary care providers (PCPs), the time between last pediatric-focused and first adult-focused PCP visits, and the predictors of transfer timing.Design, setting, and participantsRetrospective cohort study of patients insured by Harvard Pilgrim Health Care (HPHC), a large not-for-profit health plan. Our sample included 60 233 adolescents who were continuously enrolled in HPHC from 16 to at least 18 years of age between January 2000 and December 2012. Pediatric-focused PCPs were identified by the following provider specialty types, but no others: pediatrics, adolescent medicine, or pediatric nurse practitioner. Adult-focused PCPs were identified by having any provider type that sees adult patients. Providers with any specialty provider designation (eg, gastroenterology or gynecology) were not considered PCPs.Main outcomes and measuresWe used multivariable Cox proportional hazards regression to model age at first adult-focused PCP visit and time from the last pediatric-focused to the first adult-focused PCP visit (gap) for any type of office visit and for those that were preventive visits.ResultsYounger age at transfer was observed for female youths (hazard ratio [HR], 1.32 [95% CI, 1.29-1.36]) who had complex (HR, 1.06 [95% CI, 1.01-1.11]) or noncomplex (HR, 1.08 [95% CI, 1.05-1.12]) chronic conditions compared with those who had no chronic conditions. Transfer occurred at older ages for youths who lived in lower-income neighborhoods compared with those who lived in higher-income neighborhoods (HR, 0.89 [95% CI, 0.83-0.95]). The gap between last pediatric-focused to first adult-focused PCP visit was shorter for female youths than male youths (HR, 1.57 [95% CI, 1.53-1.61]) and youths with complex (HR, 1.35 [95% CI, 1.28-1.41]) or noncomplex (HR, 1.24 [95% CI, 1.20-1.28]) chronic conditions. The gap was longer for youths living in lower-income neighborhoods than for those living in higher-income neighborhoods (HR, 0.80 [95% CI, 0.75-0.85]). Multivariable models showed an adjusted median age at transfer of 21.8 years for office visits and 23.1 years for preventive visits and an adjusted median gap length of 20.5 months for office visits and 41.6 months for preventive visits.Conclusions and relevanceMost youths are transferring care later than recommended and with gaps of more than a year. While youths with chronic conditions have shorter gaps, they may need even shorter transfer intervals to ensure continuous access to care. More work is needed to determine whether youths are experiencing clinically important lapses in care or other negative health effects due to the delayed timing of transfer.

The purpose of the study was to understand the association between stressful life events prior to conception (PSLEs) and women's alcohol and tobacco use prior to and during pregnancy, and the continuation of such use through pregnancy. Data were from the Early Childhood Longitudinal Study-Birth Cohort (n = 9,350). Data were collected in 2001. Exposure to PSLEs was defined by indications of death of a parent, spouse, or previous live born child, divorce or marital separation, or fertility problems prior to conception. Survey data determined alcohol and tobacco usage during the 3 months prior to and in the final 3 months of pregnancy. Weighted regressions estimated the effect of PSLEs on alcohol and tobacco use at each time point and on the continuation of use, adjusting for confounders. Experiencing any PSLE increased the odds of tobacco use prior to (adjusted odds ratio [AOR] 1.52, 95 % confidence interval (CI) 1.23-1.87) and during pregnancy (AOR 1.57, 95 % CI 1.19-2.07). Women exposed to PSLEs smoked nearly five additional packs of cigarettes in the 3 months prior to pregnancy (97 cigarettes, p = 0.011) and consumed 0.31 additional alcoholic drinks during the last 3 months of pregnancy than unexposed women. PSLEs are associated with tobacco use before pregnancy and alcohol and tobacco use during pregnancy. Alcohol and tobacco screening and cessation services should be implemented prior to and during pregnancy, especially for women who have experienced PSLEs.

ObjectivesWe sought to determine whether the effects of preconception stressful life events (PSLEs) on birth weight differed by neighborhood disadvantage.MethodsWe drew our data from the Early Childhood Longitudinal Study, Birth Cohort (2001-2002; n = 9300). We created a neighborhood disadvantage index (NDI) using county-level data from the 2000 US Census. We grouped the NDI into tertiles that represented advantaged, middle advantaged, and disadvantaged neighborhoods. Stratified multinomial logistic regressions estimated the effect of PSLEs on birth weight, controlling for confounders.ResultsWe found a gradient in the relationship between women's exposure to PSLEs and having a very low birth weight (VLBW) infant by NDI tertile; the association was strongest in disadvantaged neighborhoods (adjusted odd ratio [AOR] = 1.62; 95% confidence interval [CI] = 1.04, 2.53), followed by middle (AOR = 1.39; 95% CI = 1.00, 1.93) and advantaged (AOR = 1.29; 95% CI = 0.91, 1.82) neighborhoods. We observed a similar gradient for women with chronic conditions and among minority mothers.ConclusionsWomen who experienced PSLEs, who had chronic conditions, or were racial/ethnic minorities had the greatest risk of having VLBW infants if they lived in disadvantaged neighborhoods; this suggests exacerbation of risk within disadvantaged environments. Interventions to reduce rates of VLBW should focus on reducing the deleterious effects of stressors and on improving neighborhood conditions.